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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2026

Comparative Analysis of Machine Learning Approaches for Automated Detection of AI-Generated Text in Academic Content

The record

Type
Publication
Date
1 January 2026
Level
National
Journal
Esic 2026 Proceedings 6th International Conference on Emerging Systems and Intelligent Computing
Pages
748-753
Published
1 January 2026
DOI
10.1109/esic68176.2026.11495939
Scopus ID
105040809139
Authors
4
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

    GoalPrimaryHigh confidenceJudged

    Proposes tiered AI-detection framework explicitly designed for educational settings to support academic integrity and content verification.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1
  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Develops novel machine learning methodology combining BERT and hybrid models to advance detection accuracy for identifying AI-generated academic texts.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1.1 Education and lifelong learning

    Sub-themePrimaryHigh confidenceJudged

    Enhances educational capability through technological innovation in academic assessment and content authentication systems.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Comparative Analysis of Machine Learning Approaches for Automated Detection of AI-Generated Text in Academic Content”. Kortex.

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